Job Description :

Job Summary:

As a key member of Data Management Technology, working in partnership with the Group Wide Data Office and lines of business, the Senior Cloud Data engineer will develop and manage a global team to design and deliver an cloud application platform focused on business value generation across the Nomura Group.

This is a client-facing role that requires excellent communication and business analysis skills as well as technical, data design, and architecture skills.

Representative Duties:

  • Builds and lead a Cloud Data engineering team.
  • Partners with product owners in the Group Data Office and lines of business to deliver high-value solutions to business challenges/opportunities.
  • Maintains a portfolio-wide perspective; assesses new technologies based on client requirements and makes recommendations on use of these technologies
  • Architect, prototype, deliver and support data solutions with system-wide impact with consideration for scalability, cost-effectiveness, reliability, availability, and security.
  • Directs and mentor’s analysts and other team members to accomplish project goals and timelines.
  • Designs and develops data models, extracts, data transformations, data migrations, data visualizations, reports, and other related deliverables that meet project requirements.
  • Leads development of documentation for end-user training and peer knowledge transfer.

The candidates needs to demonstrate a cohesive set of skills across the list below. While one is not expected to know all the technologies, this position requires a wide understanding of the domain.

Must Have

Technology

  • Python, Scala, Java in that order of priority.
  • RDBMS, SQL on Hadoop, Snowflake SQL
  • Dataflow automation using Airflow, Prefect

Application Design and Development

  • Expertise in design and development of RESTful services and APIs
  • Experience is integrating Vendor products using Application APIs.
  • Experience with Agile process methodology, Test Driven Development and CI/CD automation
  • Design knowledge of Service oriented architecture, scalable micro services and data standards like JSON, Avro, Parquet, ORC, S3
  • Demonstrable experience of implementing enterprise data solutions

Cloud Engineering

  • Understanding of core AWS services, uses, and basic AWS architecture best practices
  • Proficiency in developing, deploying, and debugging cloud-based applications using AWS

Team Leadership

  • Demonstrate ownership and initiative-taking
  • Strong communication skills, should be able to communicate effectively with business and other stakeholders
  • Proven development team and line management experience

Good to have

  • Experience with Metadata management Platforms like Alation, Collibra.
  • Knowledge of Data Catalog / Data Governance processes
  • Prior experience of working in a global Financial Services organization

Other Skills

  • Curiosity and a continuous learning mindset
  • Strong time management skills
  • The ability to fluently communicate with nontechnical co-workers and cloud experts
  • The ability to make clear decisions

Minimum Educational Qualification:

  • A Bachelor's Degree in Computer Science, Mathematics, Information Technology, Statistics, Analytics, Masters/MBA preferred
  • AWS Cloud Foundation Certification

Minimum Experience Qualification:

Seven (7) years professional work related to software development and implementation, and data analytics for the last two (2) working on cloud-based platforms (AWS), preferably in Financial Services.

             

Similar Jobs you may be interested in ..